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Review Citation - WoS: 75Citation - Scopus: 120Hybrid Blockchain Platforms for the Internet of Things (iot): a Systematic Literature Review(Mdpi, 2022) Alkhateeb, Ahmed; Catal, Cagatay; Kar, Gorkem; Mishra, AlokIn recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for different purposes, such as food safety monitoring, cryptocurrency exchange, and secure medical data sharing. However, blockchain platforms cannot store all the generated data. Therefore, they are supported with data warehouses, which in turn is called a hybrid blockchain platform. While several systems have been developed based on this idea, a current state-of-the-art systematic overview on the use of hybrid blockchain platforms is lacking. Therefore, a systematic literature review (SLR) study has been carried out by us to investigate the motivations for adopting them, the domains at which they were used, the adopted technologies that made this integration effective, and, finally, the challenges and possible solutions. This study shows that security, transparency, and efficiency are the top three motivations for adopting these platforms. The energy, agriculture, health, construction, manufacturing, and supply chain domains are the top domains. The most adopted technologies are cloud computing, fog computing, telecommunications, and edge computing. While there are several benefits of using hybrid blockchains, there are also several challenges reported in this study.Article Citation - WoS: 13Citation - Scopus: 33Information Technology in Human Resource Management: an Empirical Assessment(Sage Publications inc, 2010) Mishra, Alok; Akman, IbrahimThe present paper begins by introducing a number of observations on the applications of information technology (IT) in the field of human resource management (HRM) in general. This is due to the fact that IT and its wide range of applications have already made their presence felt in this area. This will be followed by a report on the findings of a survey on the present trends in organizations with in the different sectors in Turkey. Although the impact of IT on HRM has long been attracting the interest of academics, no empirical research has ever been realized in this field in Turkey, and few studies have been reported elsewhere. The survey was conducted among the 106 IT managers and professionals from various sectors, based on whose results, the data shows that IT is used extensively in the organizations to perform HRM functions in Turkey's dynamic economy. The results also indicated that, while IT has an impact on all sectors in terms of HRM to certain extent, the types of IT used vary significantly between recruitment, maintenance, and development tasks. However, the empirical results here reveal that these organizations are not applying these technologies systematically and maturely in the performance of HRM functions.Article Citation - WoS: 17Citation - Scopus: 24Iot Platform for Seafood Farmers and Consumers(Mdpi, 2020) Jaeger, Bjorn; Mishra, AlokThere has been a strong growth in aquatic products supported by the global seafood industry. Consumers demand information transparency to support informed decisions and to verify nutrition, food safety, and sustainable operations. Supporting these needs rests on the existence of interoperable Internet of Things (IoT) platforms for traceability that goes beyond the minimum "one up, one down" scheme required by regulators. Seafood farmers, being the source of both food and food-information, are critical to achieving the needed transparency. Traditionally, seafood farmers carry the costs of providing information, while downstream actors reap the benefits, causing limited provision of information. Now, global standards for labelling, data from IoT devices, and the reciprocity of utility from collecting data while sharing them represent great potential for farmers to generate value from traceability systems. To enable this, farmers need an IoT platform integrated with other IoT platforms in the value network. This paper presents a case study of an enterprise-level IoT platform for seafood farmers that satisfies consumers' end-to-end traceability needs while extracting data from requests for information from downstream actors.Article Citation - WoS: 14Citation - Scopus: 25Automatic Classification of UML Class Diagrams Using Deep Learning Technique: Convolutional Neural Network(Mdpi, 2021) Gosala, Bethany; Chowdhuri, Sripriya Roy; Singh, Jyoti; Gupta, Manjari; Mishra, AlokUnified Modeling Language (UML) includes various types of diagrams that help to study, analyze, document, design, or develop any software efficiently. Therefore, UML diagrams are of great advantage for researchers, software developers, and academicians. Class diagrams are the most widely used UML diagrams for this purpose. Despite its recognition as a standard modeling language for Object-Oriented software, it is difficult to learn. Although there exist repositories that aids the users with the collection of UML diagrams, there is still much more to explore and develop in this domain. The objective of our research was to develop a tool that can automatically classify the images as UML class diagrams and non-UML class diagrams. Earlier research used Machine Learning techniques for classifying class diagrams. Thus, they are required to identify image features and investigate the impact of these features on the UML class diagrams classification problem. We developed a new approach for automatically classifying class diagrams using the approach of Convolutional Neural Network under the domain of Deep Learning. We have applied the code on Convolutional Neural Networks with and without the Regularization technique. Our tool receives JPEG/PNG/GIF/TIFF images as input and predicts whether it is a UML class diagram image or not. There is no need to tag images of class diagrams as UML class diagrams in our dataset.Article Citation - WoS: 6Citation - Scopus: 7Predictive Effect of Gender and Sector Differences on Internet Usage Among Employees(Kaunas Univ Technol, 2010) Akman, Ibrahim; Mishra, Alok; Software Engineering; Computer EngineeringInternet has become the foundation for the world's new information infrastructure. This impact could be attributed to the Internet's universal access to information as well as its applications in all walks of life. Various services of the Internet and tools (chat rooms, e-mails, etc.) provide users with a wide range of benefits. In their study, Colley and Maltby (2008) indicated that one important research area over the last decade has been the impact of the Internet upon different social groups in the society. The differences in various aspects of Internet usage across demographic groups have also become an interesting research area (Yang and Tung, 2007; Jaeger, 2003) because demographic attributes were found to influence individuals' actions before they engage in a given behaviour (Ajzen and Fishbein, 1980; Zhang, 2005; Jaeger, 2003). Zhang (2005) reported that although studies of computer and Internet attitudes are abundant, the majority of these researches use college students (Zhang, 2005; Hwang et al., 2006; Li and Kirkup, 2007; Chen, 2008) or ordinary citizens (Fisher and Jacob, 2006; Fang and Yen, 2006; Colley and Maltby, 2008) as samples. However, employee populations constitute one of the largest groups and play a very important role in the adoption of new technologies. Additionally, employees' use of Internet services may show entirely different patterns than other groups in the society (Jin et al., 2007). Furthermore, the basic concepts of the Internet have been developed in the Western World and most of the empirical research focusing on Internet usage is either US/EU or Far East based (Teo and Lim, 2000; Usiner, 2005). Although they cover very valuable territory and provide useful insights that can provide direction in the examination of the issues from a global perspective, the results of these studies may not be applicable to other parts of the world due to the existence of social and economic differences (Bertot, McClure and Owens, 1999; Zhang, 2005). Nowadays, there is a growing divide between Western countries and the developing countries and, comparatively, very little has been researched in the field of ICT in the latter. Keeping these in view, the present study was undertaken to investigate the predictive effect of employees' gender and sector in their Internet usage and purpose of using the Internet. For the purpose of this study, "public sector" refers to national government departments and "private sector" comprises private corporations (Akman et al., 2005). Here, it is important to note that institutions providing nonprofit public services (e. g. universities, local government, etc.) have been categorized as a public sector. Our study focused on employees from private and public sector organizations. A sample of employees was used for this purpose. The independent (decision) variables were gender and sector of employees. The dependent variables were categorized into two empirical factors: (i) usage profile (average daily use of Internet and reason for using Internet) and (ii) usage pattern (average daily use of Internet for communication services, average daily use of Internet for information services and average daily use of Internet for electronic services). For this purpose, a survey was conducted among employees from public and private sector organizations. Interestingly, the results indicated that gender and sector both have significant impact on average daily use of Internet for communication services. This impact is significant for gender on average daily use of Internet for information services and for sector on average daily use of Internet. Another interesting finding is that there is no significant predictive effect of gender and sector on the reason for using Internet.Article Citation - WoS: 9Citation - Scopus: 9Proton Therapy for Mandibula Plate Phantom(Mdpi, 2021) Senirkentli, Guler Burcu; Ekinci, Fatih; Bostanci, Erkan; Guzel, Mehmet Serdar; Dagli, Ozlem; Karim, Ahmad M.; Mishra, AlokPurpose: In this study, the required dose rates for optimal treatment of tumoral tissues when using proton therapy in the treatment of defective tumours seen in mandibles has been calculated. We aimed to protect the surrounding soft and hard tissues from unnecessary radiation as well as to prevent complications of radiation. Bragg curves of therapeutic energized protons for two different mandible (molar and premolar) plate phantoms were computed and compared with similar calculations in the literature. The results were found to be within acceptable deviation values. Methods: In this study, mandibular tooth plate phantoms were modelled for the molar and premolar areas and then a Monte Carlo simulation was used to calculate the Bragg curve, lateral straggle/range and recoil values of protons remaining in the therapeutic energy ranges. The mass and atomic densities of all the jawbone layers were selected and the effect of layer type and thickness on the Bragg curve, lateral straggle/range and the recoil were investigated. As protons move through different layers of density, lateral straggle and increases in the range were observed. A range of energies was used for the treatment of tumours at different depths in the mandible phantom. Results: Simulations revealed that as the cortical bone thickness increased, Bragg peak position decreased between 0.47-3.3%. An increase in the number of layers results in a decrease in the Bragg peak position. Finally, as the proton energy increased, the amplitude of the second peak and its effect on Bragg peak position decreased. Conclusion: These findings should guide the selection of appropriate energy levels in the treatment of tumour structures without damaging surrounding tissues.Article Citation - WoS: 33Citation - Scopus: 45Software Product Quality Metrics: a Systematic Mapping Study(Ieee-inst Electrical Electronics Engineers inc, 2021) Colakoglu, Fatima Nur; Yazici, Ali; Mishra, AlokIn the current competitive world, producing quality products has become a prominent factor to succeed in business. In this respect, defining and following the software product quality metrics (SPQM) to detect the current quality situation and continuous improvement of systems have gained tremendous importance. Therefore, it is necessary to review the present studies in this area to allow for the analysis of the situation at hand, as well as to enable us to make predictions regarding the future research areas. The present research aims to analyze the active research areas and trends on this topic appearing in the literature during the last decade. A Systematic Mapping (SM) study was carried out on 70 articles and conference papers published between 2009 and 2019 on SPQM as indicated in their titles and abstract. The result is presented through graphics, explanations, and the mind mapping method. The outputs include the trend map between the years 2009 and 2019, knowledge about this area and measurement tools, issues determined to be open to development in this area, and conformity between conference papers, articles and internationally valid quality models. This study may serve as a foundation for future studies that aim to contribute to the development in this crucial field. Future SM studies might focus on this subject for measuring the quality of network performance and new technologies such as Artificial Intelligence (AI), Internet of things (IoT), Cloud of Things (CoT), Machine Learning, and Robotics.Article Citation - WoS: 11Citation - Scopus: 14Sustainability Inclusion in Informatics Curriculum Development(Mdpi, 2020) Mishra, Deepti; Mishra, Alok(1) Background: Presently, sustainability is a crucial issue for human beings due to many disasters owing to climate change. Information Technology (IT) is now part of everyday life in society due to the proliferation of gadgets such as mobile phones, apps, computers, information systems, web-based systems, etc. (2) Methods: The analysis is based on recent ACM/IEEE curriculum guidelines for IT, a rigorous literature review as well as various viewpoints and their relevance for sustainability-oriented curriculum development; it also includes an assessment of key competencies in sustainability for proposed units in the IT curriculum. (3) Results: Sustainability is a critical subject for prospective IT professionals. Therefore, it is imperative to motivate and raise awareness among students and the faculty community regarding sustainability through its inclusion in the Informatics curriculum. This paper focuses on how sustainability can be included in various courses of the Informatics curriculum. It also considers recent ACM/IEEE curriculum guidelines for IT professionals, which assert that IT students should explore IT strategies required for developing a culture of green and sustainable IT. (4) Conclusions: This paper provides guidelines for IT curriculum development by incorporating sustainable elements in courses, so that future IT professionals can learn and practice sustainability in order to develop a sustainable society.Article Citation - WoS: 19Citation - Scopus: 24A Novel Hybrid Machine Learning Based System To Classify Shoulder Implant Manufacturers(Mdpi, 2022) Sivari, Esra; Guzel, Mehmet Serdar; Bostanci, Erkan; Mishra, AlokIt is necessary to know the manufacturer and model of a previously implanted shoulder prosthesis before performing Total Shoulder Arthroplasty operations, which may need to be performed repeatedly in accordance with the need for repair or replacement. In cases where the patient's previous records cannot be found, where the records are not clear, or the surgery was conducted abroad, the specialist should identify the implant manufacturer and model during preoperative X-ray controls. In this study, an auxiliary expert system is proposed for classifying manufacturers of shoulder implants on the basis of X-ray images that is automated, objective, and based on hybrid machine learning models. In the proposed system, ten different hybrid models consisting of a combination of deep learning and machine learning algorithms were created and statistically tested. According to the experimental results, an accuracy of 95.07% was achieved using the DenseNet201 + Logistic Regression model, one of the proposed hybrid machine learning models (p < 0.05). The proposed hybrid machine learning algorithms achieve the goal of low cost and high performance compared to other studies in the literature. The results lead the authors to believe that the proposed system could be used in hospitals as an automatic and objective system for assisting orthopedists in the rapid and effective determination of shoulder implant types before performing revision surgery.Article Citation - WoS: 18Citation - Scopus: 21Research Trends in Management Issues of Global Software Development: Evaluating the Past To Envision the Future(Taylor & Francis inc, 2011) Mishra, Deepti; Mishra, AlokThis paper presents research trends in management issues (project management, process management, knowledge management, requirements management, configuration management, risk management, quality management) of distributed/global information system development. The main objective is to highlight the current research and practice direction in these areas. The results are based on peer-reviewed conference papers/journal articles, published between 2000 and early 2011. The analysis revealed that most research has been done in project management, process management, knowledge management and requirements management areas while configuration, risk, and quality management issues could get only limited attention in global/distributed information system development. This indicates the need for future research (quantitative and qualitative) in these areas.
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